Teams at Texas Children's Hospital

Lead the design, development, deployment, and governance of advanced analytics, machine learning, and AI solutions using large healthcare datasets. Responsibilities include data preparation, statistical and predictive modeling, model monitoring, explainability, visualization, stakeholder communication, and translating findings into clinical and operational improvements. The role also mentors data professionals, advises leaders, manages initiative priorities and risks, and promotes responsible AI and Agile practices.

Manages hospital and professional coding quality and education programs. Oversees coding audits, monitors accuracy and documentation compliance, communicates regulatory and guideline changes, develops training for coding staff and physicians, identifies documentation trends, reports findings to leadership, and supports process improvement across Revenue Integrity, Clinical Documentation Integrity, and related departments.

The Associate Data Scientist partners with clinical and operational teams to prepare and transform data, develop predictive models, apply statistical and AI techniques, and create actionable insights. Responsibilities include feature engineering, model optimization, data visualization, dashboards, stakeholder presentations, risk management, and Agile collaboration to improve patient care, hospital operations, and organizational outcomes.